Abstract:
The concept of electric vehicles (EV) has made a huge impact in the field of transportation.
However, EV charging is by no means simple, effective, or economical. There is a lot of possi bility and control in charging electric vehicles with renewable energy sources like solar energy.
For the current situation, a solar power and energy storage system (ESS) with an effective
converter topology are combined to design an electric vehicle charging system. The proposed
step-up DC-DC converter utilised solar power efficiently and effectively by operating in five dif ferent modes. Also proposes an automated system for mode selection of the converter based on
the availability of input sources. In EV charging applications, when there is excess solar energy
is available in the Photo Voltaic (PV) panel and EV battery reaches its maximum value of State
Of Charge (SOC), ESS is provided and charged through a bi-directional DC-DC converter. The
power from PV modules changes on account of the changes in ecological conditions and this
influence differences in maximum power points (MPP). The Maximum Power Point Tracking
(MPPT) controllers are used to determine the MPP of the PV output and regulate the operat ing point of the converter.The performance comparison of different MPPT algorithms such as
Perturb and Observe (P&O), Variable Step Size Perturb and Observe (VSS P&O), and Look-up
Table (LT) are used to track the MPP in PV based system. SPV (Solar Photo Voltaic) system
with suggested converter topology is developed and simulated in MATLAB/Simulink
